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Titlebook: Computer Vision and Robotics; Proceedings of CVR 2 Praveen Kumar Shukla,Himanshu Mittal,Andries Engel Conference proceedings 2023 The Edito

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The Security Application Block,ecision tree-based classification algorithms, such as CART and random forest, outperformed non-decision tree classification techniques, such as support vector machines. The corresponding mean OAs for the SVM, RF, and CART classifiers on Landsat-8 were 83.52%, 94.72%, and 92.00%, respectively. Finall
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The Security Application Block,nd-excite (SELayers) are embedded in different channels. Second, to recognize small defects on the surface, a small target recognition layer (STRLayers) was introduced. Third, to perfect the excessive aspect ratio of detection, complete intersection over union (CIoU) loss function is used. The North
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,Rebalancing Algorithm for Bike Sharing System Networks with Uncertain Inventories and Stations withf inventory where a variation of the behavior of bicycle inventories is made according to probability distributions and the delta parameter of the algorithm. Among the most relevant results, they show that as the parameter . the cost of rebalancing decreases regardless of the behavior of inventories
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Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networkrack of path delay and alerting users if it exceeds a set threshold. NS2 programme will mimic the recommended strategy. We evaluate the suggested methods and demonstrate that our system performs well according to a number of parameters, such as throughput, latency, and packet loss.
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Computer Vision-Based Contactless Cardiac Pulse Estimation,d signals. Heart rate estimation is done using the FFT algorithm and power spectral density technique. The proposed system gives better accuracy on different demographic groups in the following two conditions (1) stand-still position: 96.59% with an error rate of 2.9 ± 0.5BPM. (2) Post-exercise: 98.
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Facemask Detection Using Convolutional Neural Networks,istence of a facemask on people faces in Live Streaming via Webcam and on photos. We employ Convolutional Neural Networks (CNN) to develop a model for real-time facemask identification, it is a type of Deep Neural Network (DNN) that is generally used in picture recognition and categorization. The pr
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